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- W2362834229 abstract "The main purpose of this study is to analyze pedestrians’ behavior on un-signalized mid-block pedestrian crosswalk.Pedestrians crossing behavior data were collected on eight pedestrian crosswalks in Changsha city.Statistical analysis was conducted on pedestrian behavior data.Logistic regression model was built to forecast pedestrian’s decision to go or stop,based on seven independent variables involving pedestrian individual characteristics,traffic conditions and road conditions.Software SPSS was used to calibrate the parameters of Logistic regression model.Plotting the curves relating vehicles’ headway to the probability of pedestrian’s decision to go,critical headways were obtained under various situations of pedestrian individual characteristics,traffic and road conditions.The results indicate that:(1) vehicle headway,velocity,vehicle type,lanes number,pedestrian gender,age,and number of pedestrian in the group can distinctly influence pedestrian’s decision at a significance level of 0.05;and(2) vehicle type,lane number,number of pedestrian in the group,pedestrian age,gender have distinct effects on the critical headway adopted by pedestrian.The Logistic regression-based pedestrian behavior model and the results of critical headway analysis in this study can provide theoretical basis for pedestrian crossing safety analysis,crossing facility design and pedestrian signal control." @default.
- W2362834229 created "2016-06-24" @default.
- W2362834229 creator A5029512082 @default.
- W2362834229 date "2013-01-01" @default.
- W2362834229 modified "2023-09-23" @default.
- W2362834229 title "Pedestrian Behavior on Un-signalized Mid-block Pedestrian Crosswalk" @default.
- W2362834229 hasPublicationYear "2013" @default.
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